Triple
T6112008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucana Dwarf Galaxy |
E136264
|
entity |
| Predicate | hasGasPhaseStarFormation |
P65765
|
FINISHED |
| Object | absent |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: absent | Statement: [Tucana Dwarf Galaxy, hasGasPhaseStarFormation, absent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGasPhaseStarFormation Context triple: [Tucana Dwarf Galaxy, hasGasPhaseStarFormation, absent]
-
A.
gasPhaseStarFormation
chosen
Indicates that star formation is occurring directly from diffuse gas in the interstellar medium, rather than from already condensed structures like molecular clouds or disks.
-
B.
hasStarFormationMode
Indicates the specific manner or process by which star formation occurs in a given astronomical system or region.
-
C.
starFormationRate
Indicates the rate at which new stars are being formed within a given astronomical region or object over time.
-
D.
starFormationActivity
Indicates the level or intensity of ongoing star formation occurring within an astronomical object or region.
-
E.
hasGasToStellarMassRatio
Indicates the proportion between an object's gas mass and its stellar mass.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.